Unlike ERCOT, CAISO anonymizes public market data, masking resource identities and obscuring asset-level activity. A report ...

A research team led by Kyung Mun Min and Seonghwan Choi of Materials Processing Research Division (Korea Institute of ...

She is notoriously private, but I hope Andy Burnham's wife will take a leading role – and help him avoid a big mistake the ...

Many states are trying to crack down on the newest frontier in the financial wild west: prediction markets. Although best known as places for betting on sports, which the Supreme Court ruled is legal ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled degradation mechanisms with machine learning, aiming to improve early prediction ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Something to look forward to: A new tool could dramatically accelerate how scientists design and test batteries. Researchers at the University of Michigan have developed a machine-learning system that ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

Abstract: Accurate prediction of State of Charge (SOC) and State of Health (SOH) is crucial for optimizing the efficiency and reliability of electric vehicle (EV) battery management systems. This ...